Towards a new architecture for symbolic processing
AIICSR'94 Proceedings of the sixth international conference on Artificial intelligence and information-control systems of robots
Tree adjoining grammars for RNA structure prediction
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DNA Computing: New Computing Paradigms (Texts in Theoretical Computer Science. An EATCS Series)
DNA Computing: New Computing Paradigms (Texts in Theoretical Computer Science. An EATCS Series)
Hybrid networks of evolutionary processors
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Analysing sentences with networks of evolutionary processors
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Accepting hybrid networks of evolutionary processors
DNA'04 Proceedings of the 10th international conference on DNA computing
IEEE Transactions on Evolutionary Computation
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This paper aims to present the formal framework in which the interdisciplinary study of natural language is conducted by integrating linguistics, computer science and biology. It provides an overview of the field of research, conveying the main biological ideas that have influenced research in linguistics. Especially, this work highlights the main methods of molecular computing that have been applied to the processing and study of the structure of natural language. Among them, DNA computing, membrane computing and NEPs are the most relevant computational architectures that have been adapted to account for one of the most unknown cognitive capacities of human beings.